This course is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models.
This role is responsible for solving the business problem that initiated the project. While the Data Engineer will prepare the data to be used for the models, the Data Scientist determines what data is needed for model training, creates model features from the data, determines what machine learning model to use, trains and evaluates the model, and often has involvement in model deployment. Often the data scientist needs to evaluate multiple models to determine which performs the best.
Gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.
Excellent interaction and answered all of my questions. Looking forward to being able to apply some of the tips and features learned today which hopefully should have real impact on some of the more time consuming tasks currently encountered.
Dublin classroom student
Great course yesterday and can’t give enough amazing feedback for John. I’ve never had a teacher hold attention of a class from start to finish, but yesterday he did this.
Interested in alternative dates? Would like to book a private session of this course for your company? Or for any other queries please simply fill out the form below.